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How do social scientists use link data from search engines to understand Internet-based political and electoral communication?

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  • Han Park

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Suggested Citation

  • Han Park, 2012. "How do social scientists use link data from search engines to understand Internet-based political and electoral communication?," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(2), pages 679-693, February.
  • Handle: RePEc:spr:qualqt:v:46:y:2012:i:2:p:679-693
    DOI: 10.1007/s11135-010-9421-x
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    References listed on IDEAS

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    1. Mike Thelwall, 2008. "Extracting accurate and complete results from search engines: Case study windows live," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(1), pages 38-50, January.
    2. Han Woo Park & Loet Leydesdorff, 2009. "Knowledge linkage structures in communication studies using citation analysis among communication journals," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 157-175, October.
    3. Han Park & Mike Thelwall, 2008. "Link analysis: Hyperlink patterns and social structure on politicians’ Web sites in South Korea," Quality & Quantity: International Journal of Methodology, Springer, vol. 42(5), pages 687-697, October.
    4. Meyer, Eric T. & Schroeder, Ralph, 2009. "Untangling the web of e-Research: Towards a sociology of online knowledge," Journal of Informetrics, Elsevier, vol. 3(3), pages 246-260.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
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    Cited by:

    1. George Barnett & Han Park, 2014. "Examining the international internet using multiple measures: new methods for measuring the communication base of globalized cyberspace," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(1), pages 563-575, January.
    2. Arif Mehmood & Gyu Sang Choi & Otto F. Feigenblatt & Han Woo Park, 2016. "Proving ground for social network analysis in the emerging research area “Internet of Things” (IoT)," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(1), pages 185-201, October.
    3. Manuela Hartwig & Yohei Kobashi & Sae Okura & Leslie Tkach-Kawasaki, 2015. "Energy policy participation through networks transcending cleavage: an analysis of Japanese and German renewable energy promotion policies," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1485-1512, July.
    4. Park, Han Woo & Leydesdorff, Loet, 2013. "Decomposing social and semantic networks in emerging “big data” research," Journal of Informetrics, Elsevier, vol. 7(3), pages 756-765.
    5. Arif Mehmood & Byung-Won On & Ingyu Lee & Han Woo Park & Gyu Sang Choi, 2018. "Corroborating social media echelon in cancer research," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 801-813, March.
    6. Yongli Li & Chong Wu & Zizheng Wang, 2015. "An information-theoretic approach for detecting communities in networks," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(4), pages 1719-1733, July.
    7. Han Woo Park, 2014. "Mapping election campaigns through negative entropy: Triple and Quadruple Helix approach to South Korea’s 2012 presidential election," Scientometrics, Springer;Akadémiai Kiadó, vol. 99(1), pages 187-197, April.

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